"Super E-Noses": Multi-Layer Perceptron Classification of Volatile Odorants from the Firing Rates of Cross-Species Olfactory Receptor Arrays

Bachtiar, Luqman R ;   Unsworth, Charles Peter ;   Newcomb, Richard D

Tags Biomedical signal classificationNeural networks in biosignal processing and classificationNonlinear analysis of biomedical signals

Current electronic noses, or e-noses, that employ insect odorant receptors (Ors) as their sensory front end are potentially limited by the...

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A Comparative Analysis of Functional Connectivity Data in Resting and Task-Related Conditions of the Brain for Disease Signature of OCD

Khaneh Shenas, Sona ;   Halici, Ugur ;   Cicek, Metehan

Tags Pattern recognition methods for data mining in biosignalsPrincipal component analysisConnectivity measurements

Obsessive Compulsive Disorder (OCD) is a frequent, chronic disorder producing intrusive thoughts which results in repetitive behaviors. It is...

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A Smartphone Approach for the 2 and 6-Minute Walk Test

Capela, Nicole ;   Lemaire, Edward ;   Baddour, Natalie

Tags Biomedical signal classification

The 2 and 6-minute walk tests (2-6MWT) are used by rehabilitation professionals as a measure of exercise capacity. Our research has...

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Application of Head Flexion Detection for Enhancing Eye Gaze Direction Classification

Al-Rahayfeh, Amer ;   Faezipour, Miad

Tags Biomedical signal classificationNeural networks in biosignal processing and classification

Extensive research has been conducted on the tracking and detection of the eye gaze and head movement detection as these aspects of...

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Artefact Detection in Neonatal EEG

Stevenson, Nathan ;   O'Toole, John M. ;   Korotchikova, Irina ;   Boylan, Geraldine

Tags Biomedical signal classificationSignals and systems

Artefact detection is an important component of any automated EEG analysis. It is of particular importance in analyses such as sleep state...

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Automatic Detection and Classification of Artifacts in Single-Channel EEG

Olund, Thomas ;   Duun-Henriksen, Jonas ;   Kjaer, Troels Wesenberg ;   Sorensen, Helge B D

Tags Biomedical signal classificationTime-frequency analysis of biosignalsData mining in biosignals

Ambulatory EEG monitoring can provide medical doctors important diagnostic information, without hospitalizing the patient. These recordings are...

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Brain Dynamics Based Automated Epileptic Seizure Detection

Venkataraman, Vinay ;   Vlachos, Ioannis ;   Faith, Aaron ;   Krishnan, Balu ;   Tsakalis, Konstantinos S ;   Treiman, David ;   Iasemidis, Leonidas

Tags Nonlinear dynamics in biomedical signalsBiomedical signal classificationPattern recognition methods for data mining in biosignals

We developed and tested a seizure detection algorithm based on two measures of nonlinear and linear dynamics, that is, the adaptive...

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Calibration-Free Gaze Tracking for Automatic Measurement of Visual Acuity in Human Infants

Xiong, Chunshui ;   Huang, Lei ;   Liu, Changping

Tags Biomedical signal classificationPattern recognition methods for data mining in biosignalsBiomedical simulation involving signal processing

The preferential looking techniques have been successfully used for measuring of grating acuity in human infants for many years. However,...

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Comparison of Sleep-Wake Classification Using Electroencephalogram and Wrist-Worn Multi-Modal Sensor Data

Sano, Akane ;   Picard, Rosalind

Tags Biomedical signal classificationTime-frequency analysis of biosignalsSignal processing in physiological systems

This paper presents the comparison of sleep-wake classification using electroencephalogram (EEG) and multi-modal data from a wrist wearable...

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Detection of Tonic Epileptic Seizures Based on Surface Electromyography

Larsen, Sigge Nejst ;   Conradsen, Isa ;   Beniczky, Sandor ;   Sorensen, Helge B D

Tags Biomedical signal classificationTime-scale and waveletsSignal processing in physiological systems

The purpose of this project was to design an algorithm for detection of tonic seizures based on surface electromyography signals from the...

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Distance-Informed Metric Learning for Alzheimer's Disease Staging

Liu, Jundong ;   Shi, Bibo ;   Wang, Zhewei

Tags Pattern recognition methods for data mining in biosignalsBiomedical signal classification

Identifying intermediate biomarkers of Alzheimer's disease (AD) is of great importance for diagnosis and prognosis of the disease. In this...

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EEG-Based Emotion Recognition with Manifold Regularized Extreme Learning Machine

Peng, Yong ;   Zhu, Jia-Yi ;   Zheng, Wei-Long ;   Lu, Bao-Liang

Tags Biomedical signal classificationPattern recognition methods for data mining in biosignals

EEG signals, which can record the electrical activity along the scalp, provide researchers a reliable channel for investigating human emotional...

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Multiple-Output Support Vector Machine Regression with Feature Selection for Arousal/valence Space Emotion Assessment

Torres, Cristian ;   Alvarez, Mauricio A. ;   Orozco, Alvaro

Tags Biomedical signal classificationMultivariate signal processingNeural networks in biosignal processing and classification

Human emotion recognition (HER) allows the assessment of an affective state of a subject. Until recently, such emotional states were...

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Sparse Representation of MER Signals for Localizing the Subthalamic Nucleus in Parkinson's Disease Surgery

Vargas Cardona, Hernán Darío ;   Alvarez, Mauricio A. ;   Orozco, Alvaro

Tags Biomedical signal classification

Deep brain stimulation (DBS) of Subthalamic Nucleus (STN) is the best method for treating advanced Parkinson's disease (PD), leading to...

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Using Type-2 Fuzzy Logic Systems for Spike Detection in the Hypoxic Ischemic EEG of the Preterm Fetal Sheep

Abbasi, Hamid ;   Unsworth, Charles Peter ;   McKenzie, Anita Charlotte ;   Gunn, Alistair Jan ;   Bennet, Laura

Tags Fuzzy appoaches to signal pattern classificationBiomedical signal classificationAdaptive filtering

Perinatal hypoxia is a major cause of brain injury in preterm babies. Thus, neuro-protective treatments play a pivotal role during the first...

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